Description

This seminar deals with techniques from machine learning and data mining and surveys their application in software engineering. In particular, the seminar investigates how such techniques can be used to aid program comprehension, improve software quality, study developer and team dynamics as well as acquire usage information from user monitoring and user feedback. The overall goal is to extract relevant knowledge from data.

Each participant will be assigned a scientific paper which should be presented to the seminar audience in a presentation and a written report in form of a term paper. More specifically, each participant elaborates on a particular machine learning technique and one application of this technique in software engineering.

Organization

Meetings

There will be a pre-course meeting on June 27 at 3:30pm for further information in room 01.07.014. This meeting is a mandatory requirement for participating in the seminar.

In the kick-off meeting on October 21, we will discuss research methods and the seminar topics (mandatory attendance).

The presentation meetings will be held on January 19 and 20, 2017 (mandatory attendance).